Environmental Engineering Reference
In-Depth Information
iv
URBAN
SOCIOECONOMIC
ANALYSES
Applying remote sensing to urban socioeconomic analyses has been an expanding research area in urban remote sensing. Part IV
(Chs 12 - 16) examines some latest developments in the synergistic use of remote sensing and other types of geospatial information
for developing urban socioeconomic indicators. It begins with a chapter (Ch. 12) discussing a pluralistic approach to defining and
measuring urban sprawl. This topic is included as part of urban socioeconomic analyses because defining urban sprawl involves not
only urban spatial characteristics but also socioeconomic conditions such as population density and transportation. The remaining
chapters in Part IV examine several exciting areas of urban socioeconomic analyses. Chapter 13 details a method for small area
population estimation by combined use of high-resolution imagery with lidar data. Chapter 14 reviews various areal interpolation
techniques emphasizing dasymetric mapping, followed by an example in which population estimates and sociodemographic data are
derived for different spatial units by using dasymetric mapping methods. Chapter 15 discusses a method that has been developed
to estimate the global percent population having electric power access based on the presence of satellite detected nighttime lighting.
Finally, Chapter 16 examines the roles of remote sensing and GIS for urban environmental justice research.
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